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Comparative efficacy of eDNA and conventional methods for monitoring wetland anuran communities

Madison J. H. Wikston, Brie‐Anne A. Breton, Sibelle Torres Vilaça, Amanda M. Bennett, Christopher J. Kyle, David Beresford, David Lesbarrères, Chris C. Wilson, David M. Green, Marie‐Josée Fortin, Dennis L. Murray

2023Frontiers in Ecology and Evolution14 citationsDOIOpen Access PDF

Abstract

Documenting biodiversity, species occurrence, and species status require reliable monitoring techniques, but the complex life history and cryptic behavior of many anurans create challenges for conventional monitoring approaches. Environmental DNA (eDNA) surveys are a promising alternative (or complement) to conventional anuran monitoring, but their relative success has not been fully tested. We assessed the comparative efficacy of targeted eDNA detection via quantitative PCR (qPCR) and three conventional amphibian survey methods (visual encounter, breeding call, and larval dipnet surveys) for detecting nine anuran species in natural wetlands in southern Ontario, Canada. Our analyses revealed that all assessment methods yielded imperfect detection, with visual encounter and eDNA surveys detecting the greatest species richness and eDNA surveys requiring the fewest sampling events. Amphibian community composition results differed among survey methods and sampling events, and detection efficacy was markedly variable, with some species requiring two to three methods to maximize detection success. Notably, two relatively terrestrial species ( Anaxyrus americanus and Hyla versicolor ) had relatively low and seasonally variable eDNA detection rates, suggesting that species-specific ecology likely affects eDNA presence or detection. These findings suggest that optimized monitoring for complex anuran communities may require application of multiple monitoring methods, which may need to be tailored to individual target species or communities.

Topics & Concepts

Environmental DNAEcologyHabitatBiologyWetlandBiodiversitySpecies richnessAmphibianSampling (signal processing)ChytridiomycosisComputer scienceFilter (signal processing)Computer visionEnvironmental DNA in Biodiversity StudiesSpecies Distribution and Climate ChangeIdentification and Quantification in Food
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